A full-body layered deformable model for automatic model-based gait recognition
EURASIP Journal on Advances in Signal Processing
Uncorrelated multilinear principal component analysis through successive variance maximization
Proceedings of the 25th international conference on Machine learning
Robust Simultaneous Low Rank Approximation of Tensors
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Face Image Recognition Combining Holistic and Local Features
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Tensor distance based multilinear multidimensional scaling for image and video analysis
MM '09 Proceedings of the 17th ACM international conference on Multimedia
IEEE Transactions on Neural Networks
Rate-invariant recognition of humans and their activities
IEEE Transactions on Image Processing
Uncorrelated multilinear principal component analysis for unsupervised multilinear subspace learning
IEEE Transactions on Neural Networks
Boosting discriminant learners for gait recognition using MPCA features
Journal on Image and Video Processing - Special issue on video-based modeling, analysis, and recognition of human motion
IEEE Transactions on Audio, Speech, and Language Processing
A doubly weighted approach for appearance-based subspace learning methods
IEEE Transactions on Information Forensics and Security
Supervised locally linear embedding in tensor space
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Relative Margin Support Tensor Machines for gait and action recognition
Proceedings of the ACM International Conference on Image and Video Retrieval
Generalized low-rank approximations of matrices revisited
IEEE Transactions on Neural Networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Visualization and clustering of crowd video content in MPCA subspace
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Multilinear decomposition and topographic mapping of binary tensors
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
Tensor distance based multilinear locality-preserved maximum information embedding
IEEE Transactions on Neural Networks
Robust Gait Recognition by Learning and Exploiting Sub-gait Characteristics
International Journal of Computer Vision
Tensor based simultaneous feature extraction and sample weighting for EEG classification
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
Matrix-variate and higher-order probabilistic projections
Data Mining and Knowledge Discovery
A new face database and evaluation of face recognition techniques
ICS'10 Proceedings of the 14th WSEAS international conference on Systems: part of the 14th WSEAS CSCC multiconference - Volume II
Discriminant orthogonal rank-one tensor projections for face recognition
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
Trace norm regularization and application to tensor based feature extraction
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume part II
TWave: high-order analysis of spatiotemporal data
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
A comprehensive approach for skin recognition
International Journal of Biometrics
Higher rank Support Tensor Machines for visual recognition
Pattern Recognition
View independent human gait recognition using markerless 3d human motion capture
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Gait identification based on MPCA reduction of a video recordings data
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Learning compact representation for image with tensor manifold perspective
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
A tensor factorization based least squares support tensor machine for classification
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
Learning canonical correlations of paired tensor sets via tensor-to-vector projection
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Gait recognition based on shape and motion analysis of silhouette contours
Computer Vision and Image Understanding
Multi-linear neighborhood preserving projection for face recognition
Pattern Recognition
Sparse tensor embedding based multispectral face recognition
Neurocomputing
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This paper introduces a multilinear principal component analysis (MPCA) framework for tensor object feature extraction. Objects of interest in many computer vision and pattern recognition applications, such as 2D/3D images and video sequences are naturally described as tensors or multilinear arrays. The proposed framework performs feature extraction by determining a multilinear projection that captures most of the original tensorial input variation. The solution is iterative in nature and it proceeds by decomposing the original problem to a series of multiple projection subproblems. As part of this work, methods for subspace dimensionality determination are proposed and analyzed. It is shown that the MPCA framework discussed in this work supplants existing heterogeneous solutions such as the classical principal component analysis (PCA) and its 2D variant (2D PCA). Finally, a tensor object recognition system is proposed with the introduction of a discriminative tensor feature selection mechanism and a novel classification strategy, and applied to the problem of gait recognition. Results presented here indicate MPCA's utility as a feature extraction tool. It is shown that even without a fully optimized design, an MPCA-based gait recognition module achieves highly competitive performance and compares favorably to the state-of-the-art gait recognizers.